{"as_of":"2026-08-08T12:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2757972ad0e338d4659abea6d8d62afb5ca8919bcfb52ee91ac6aa1c12aa873d","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:59:04.714714Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-29T18:43:50.469104Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":"2401.10034","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-06-29T18:43:50.469104Z","title":"Evolutionary computation in the era of large language model: Survey and roadmap","venue":null,"work_id":"f385c538-a100-4e4e-961f-6c44953c15a8","year":2024},"citing_paper":{"arxiv_id":"2503.14434","last_updated":"2026-05-10T22:59:47Z","snapshot_observed_at":"2026-07-06T20:54:50.337775Z","submitted_at":"2025-03-18T17:11:24Z","title":"LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-22T23:37:02.348595Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2503.14434"},"observation_digest":"sha256:11a777ddc6ef82e3c5ea7a40c0e62db24b4a558eca13f7310f15e46dd66d1790","observation_id":"5806ace7-a13e-458e-be4e-a659d32f90cd","resolution":{"observed_at":"2026-05-22T23:37:15.411834Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":"2401.10034","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-06-29T18:43:50.469104Z","title":"Evolutionary computation in the era of large language model: Survey and roadmap","venue":null,"work_id":"f385c538-a100-4e4e-961f-6c44953c15a8","year":2024},"citing_paper":{"arxiv_id":"2504.12334","last_updated":"2026-05-10T17:20:39Z","snapshot_observed_at":"2026-07-30T01:17:05.243178Z","submitted_at":"2025-04-13T12:32:25Z","title":"QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-22T19:44:16.630377Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2504.12334"},"observation_digest":"sha256:141e82613be121ecdbb2d1d6d759b14e9a9240266f8f7e4a27199ccb2cb41de3","observation_id":"69b67c43-8beb-4e5a-85d5-798b7a742530","resolution":{"observed_at":"2026-05-22T19:45:04.017059Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-08-07T05:59:04.714714Z","title":"Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06499","last_updated":"2025-06-17T12:55:30Z","snapshot_observed_at":"2026-08-08T04:35:37.420247Z","submitted_at":"2025-06-06T19:49:42Z","title":"SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:04.714714Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2506.06499"},"observation_digest":"sha256:e3ad875108073562ea7e401c0999594e4f00855c66a6c08913c29a3a4b6bfb73","observation_id":"79b9410f-4f44-4246-ae22-176812a71ed7","resolution":{"observed_at":"2026-08-07T05:59:04.714714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-08-07T05:32:22.090196Z","title":"Evolutionary computation in the era of large language model: Survey and roadmap,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07759","last_updated":"2025-06-09T13:38:28Z","snapshot_observed_at":"2026-08-07T22:03:45.919102Z","submitted_at":"2025-06-09T13:38:28Z","title":"REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:32:22.090196Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2506.07759"},"observation_digest":"sha256:9b9996d199eb12cb860935a71e9b6aa853bfe88dd0cabf515e31934ea5a5da9f","observation_id":"72081117-5a0e-4f00-8054-ec5e9fa2ef0a","resolution":{"observed_at":"2026-08-07T05:32:22.090196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-08-07T04:39:51.964506Z","title":"Evolutionary computation in the era of large language model: survey and roadmap,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10323","last_updated":"2025-08-12T15:00:13Z","snapshot_observed_at":"2026-08-08T00:38:31.334310Z","submitted_at":"2025-06-12T03:13:55Z","title":"ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space","version":5},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T04:39:51.964506Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2506.10323"},"observation_digest":"sha256:a13bac6edc3a569b9751a613b8b6ad498ed7b9d22b15181a2477933bda7726a3","observation_id":"9035d2f8-3dc6-43fa-bf79-9793f540bfab","resolution":{"observed_at":"2026-08-07T04:39:51.964506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-08-06T13:31:41.772681Z","title":"arXiv preprint arXiv:2401.10034 (2024) 14 Fei Kong et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20592","last_updated":"2025-07-28T08:02:31Z","snapshot_observed_at":"2026-08-08T12:20:22.708480Z","submitted_at":"2025-07-28T08:02:31Z","title":"PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T13:31:41.772681Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2507.20592"},"observation_digest":"sha256:f69f5bd65eb06b146e2d864dc2d0ae11bc77ecd5d91eeb55e25fd0ee7fd50abf","observation_id":"b5d9ecb7-c703-49e1-883f-9bfcbb88ac36","resolution":{"observed_at":"2026-08-06T13:31:41.772681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":"2401.10034","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-06-29T18:43:50.469104Z","title":"Evolutionary computation in the era of large language model: Survey and roadmap","venue":null,"work_id":"f385c538-a100-4e4e-961f-6c44953c15a8","year":2024},"citing_paper":{"arxiv_id":"2510.25223","last_updated":"2026-04-22T03:39:54Z","snapshot_observed_at":"2026-07-06T22:34:18.297603Z","submitted_at":"2025-10-29T06:57:32Z","title":"FELA: A Multi-Agent Evolutionary System for Feature Engineering of Industrial Event Log Data","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-18T04:01:42.574800Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2510.25223"},"observation_digest":"sha256:161de923689b580139a503e3f68599a3fb90edb3e3871c27cf4f5c97bd92bc63","observation_id":"908b24c1-413f-4ca1-83c1-30c5a7855407","resolution":{"observed_at":"2026-05-18T04:02:23.244032Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":"2401.10034","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-06-29T18:43:50.469104Z","title":"Evolutionary computation in the era of large language model: Survey and roadmap","venue":null,"work_id":"f385c538-a100-4e4e-961f-6c44953c15a8","year":2024},"citing_paper":{"arxiv_id":"2605.15221","last_updated":"2026-05-13T06:33:06Z","snapshot_observed_at":"2026-08-03T21:49:06.491191Z","submitted_at":"2026-05-13T06:33:06Z","title":"Effective Harness Engineering for Algorithm Discovery with Coding Agents","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-19T18:08:07.096066Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2605.15221"},"observation_digest":"sha256:9907932598feccbc61f214a5f406b6941d78d87140c71ce228d14ed47672193d","observation_id":"4d43b4c2-46bc-4e40-81b2-b87e10b8d992","resolution":{"observed_at":"2026-05-19T18:12:42.674807Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":"2401.10034","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-06-29T18:43:50.469104Z","title":"Evolutionary computation in the era of large language model: Survey and roadmap","venue":null,"work_id":"f385c538-a100-4e4e-961f-6c44953c15a8","year":2024},"citing_paper":{"arxiv_id":"2605.27130","last_updated":"2026-05-26T15:00:57Z","snapshot_observed_at":"2026-08-02T21:03:24.556958Z","submitted_at":"2026-05-26T15:00:57Z","title":"DEI: Diversity in Evolutionary Inference for Quality-Diversity Search","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T18:41:53.436686Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2605.27130"},"observation_digest":"sha256:888814e4f3c7b66e640941e72d0298a8a421cd07cabe0a712259d98d577cdbf0","observation_id":"60f5aa96-9e11-4201-908f-49749f3f069c","resolution":{"observed_at":"2026-06-29T18:43:50.470554Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10034","snapshot_observed_at":"2026-08-02T09:47:32.166828Z","title":"arXiv preprint arXiv:2401.10034 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16255","last_updated":"2026-06-27T12:12:40Z","snapshot_observed_at":"2026-08-07T09:40:32.604841Z","submitted_at":"2026-06-27T12:12:40Z","title":"Feature Generation Using LLMs: An Evolutionary Algorithm Approach","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T09:47:32.166828Z"},"links":{"cited_paper":"/paper/2401.10034","citing_paper":"/paper/2607.16255"},"observation_digest":"sha256:c2d12068b1f9cc22f7569bddc5f9364b3131fe1b704647189eccf33af5689c91","observation_id":"835bfb6b-bb81-4005-82c8-0b9faa76f006","resolution":{"observed_at":"2026-08-02T09:47:32.166828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.10034/citation-record","integrity":"/paper/2401.10034/integrity","json":"/paper/2401.10034/citation-record.json","paper":"/paper/2401.10034"},"outbound":[],"paper":{"arxiv_id":"2401.10034","last_updated":"2024-05-29T09:00:25Z","latest_version":3,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-04T00:24:49.443617Z","submitted_at":"2024-01-18T14:58:17Z","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.10034."}